1,126 to 1,150 of 4,062 GCP Jobs

heavy industrial sector where data science was applied to core operational or strategic challenges. Proficiency in designing, implementing, and maintaining MLOps processes in a cloud environment (e.g., Azure, AWS, GCP). Technical Skills: Expertise in Python and its ML ecosystem (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Strong background in statistical analysis, algorithm design, and software engineering best practices. More ❯

heavy industrial sector where data science was applied to core operational or strategic challenges. Proficiency in designing, implementing, and maintaining MLOps processes in a cloud environment (e.g., Azure, AWS, GCP). Technical Skills: Expertise in Python and its ML ecosystem (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Strong background in statistical analysis, algorithm design, and software engineering best practices. More ❯

ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning More ❯

ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning More ❯

ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning More ❯

ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning More ❯

ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning More ❯

ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning More ❯

for 4+ years’ hands-on backend Java development experience. Strong expertise in RESTful APIs and microservice architectures. Background in distributed systems, OOP, and networking fundamentals. Cloud environment experience (AWS, GCP, etc.), plus Docker/Kubernetes and CI/CD. Proven track record optimising apps for performance, memory, and scalability. SQL/NoSQL database experience, including deployment and integration. Knowledge of More ❯

similar Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is preferred Cloud Expertise: Building, deploying and monitoring models on cloud like Azure, AWS or GCP is preferred. Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to More ❯

by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility More ❯

in advanced analytics, data science, and traditional analytics, with a high-level understanding of data engineering and data strategy. Strong understanding of at least one cloud stack (Azure, AWS, GCP). Proven ability to manage and deliver complex projects, balancing hands-on involvement with strategic oversight, and providing inspiring guidance to team members. Excellent communication skills, with the ability to More ❯

in advanced analytics, data science, and traditional analytics, with a high-level understanding of data engineering and data strategy Strong understanding of at least one cloud stack (Azure, AWS, GCP) Proven ability to manage and deliver complex projects, balancing hands-on involvement with strategic oversight, and providing inspiring guidance to team members Excellent communication skills, with the ability to explain More ❯

Do you want to be at the heart of some of the biggest and most ambitious programmes undertaken to keep our country safe? We are proud of the impact we have with our Defence & Security clients, the strength of our More ❯

Do you want to be at the heart of some of the biggest and most ambitious programmes undertaken to keep our country safe? We are proud of the impact we have with our Defence & Security clients, the strength of our More ❯

Do you want to be at the heart of some of the biggest and most ambitious programmes undertaken to keep our country safe? We are proud of the impact we have with our Defence & Security clients, the strength of our More ❯

similar tools. Experience with relational databases and object-oriented programming. Knowledge of backup and recovery solutions. Experience with monitoring and logging solutions. Familiarity with cloud platforms such as Azure, GCP, and AWS. Understanding of IT security frameworks and compliance requirements. Demonstrated strong interpersonal and leadership skills. Excellent project management and organizational abilities. Strong problem-solving skills and ability to work More ❯

Solution Architect Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary Negotiable up to £85,000, plus excellent company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions More ❯

Overview Who we are Hi, I'm Sheamus, the Senior Tech Lead at Mention Me and I'm hiring! Before I tell you more about the role, here's a little bit about Mention Me and what we do: At More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the … provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and engineering to push the boundaries of what’s possible. All Machine Learning Engineer positions come with the More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's reinventing how the … provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push the boundaries of what's possible. All Machine Learning Engineer positions come with the More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the … provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and engineering to push the boundaries of what’s possible. All Machine Learning Engineer positions come with the More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's … provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push the boundaries of what's possible. All Machine Learning Engineer positions come with the More ❯

Data Engineer (Palantir) – Senior & Lead London/Remote £70,000 – £120,000 + Bonus – Permanent Currently on the lookout for a Senior Data Engineer to join one of the UK’s leading digital transformation consultancies working at the forefront of More ❯

Job Title: Mid-Senior Java Engineer Location: London (Hybrid - 2-3 days in-office) Salary: Up to £85,000 per annum + Benefits Sector: Financial Services About the Role: We are seeking a Senior-Level Java Engineer to join a More ❯